This chapter discusses models used in econometrics. Models play a major role in all econometric studies, whether theoretical or applied. Defining econometrics as the branch of economics concerned with the empirical estimation of economic relationships, models, together with data, represent the...

Frontmatter -- Contents -- Introduction -- 1. Anticipations Variables in an Econometric Model: Performance of the Anticipations Version of Wharton Mark III -- 2. An Evaluation of a Short-Run Forecasting Model -- 3. St. Louis Model Revisited -- 4. A Monthly Econometric Model of the U.S. Economy...

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency...

Introduction: Sources and Types of Big Data for Macroeconomic Forecasting -- Capturing Dynamic Relationships: Dynamic Factor Models -- Factor Augmented Vector Autoregressions, Panel VARs, and Global VARs -- Large Bayesian Vector Autoregressions -- Volatility Forecasting in a Data Rich...

The book provides graduate students and researchers with an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Proper count data probability models allow for rich inferences, both with respect to the...